LEARNING-BASED POWER MODELING OF A PROCESSOR CORE AND SYSTEMS WITH MULTIPLE PROCESSOR CORES

    公开(公告)号:US20230044581A1

    公开(公告)日:2023-02-09

    申请号:US17394714

    申请日:2021-08-05

    Applicant: Xilinx, Inc.

    Abstract: Learning-based power modeling of a processor core includes generating, using computer hardware, pipeline snapshot data specifying a plurality of snapshots for a pipeline of a processor core. Each snapshot specifies a state of the pipeline for a clock cycle in executing a computer program over a plurality of clock cycles. A plurality of estimates of power consumption for the processor core in executing the computer program for the plurality of clock cycles are determined, using an instruction-based power model executed by the computer hardware, a based on the pipeline snapshot data. The plurality of estimates of power consumption are calculated using the instruction-based power model based on the plurality of snapshots over the plurality of clock cycles.

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